REA is an open-source Model Context Protocol server that connects coding agents to local reverse-engineering tools for inspecting native binaries, JavaScript/Electron apps, .NET assemblies, Android APKs, firmware, websites, and network captures. It integrates with Hopper, Ghidra, and IDA for deep native analysis, and provides static JavaScript and .NET inspection without requiring a native analysis engine. Results include evidence and limitations behind each conclusion, and the project is available under the MIT license.
- 96.4k stars and 21.5k forks; active development with 35 releases and 100 contributors
- Showcases include reconstructing a DX-Ball sound-pan calculation that passes 3,205 original test cases, and recovering a 16-bit DOS bullet-ring calculation from the game TH04
- Supports Claude Code, Codex, Cursor, Gemini CLI, and Grok Build out of the box
- Also analyzes EVM bytecode, WASM artifacts, recorded Linux crashes, Android devices via ADB, and JEB projects
- 96.4k stars and 21.5k forks; active development with 35 releases and 100 contributors
- Showcases include reconstructing a DX-Ball sound-pan calculation that passes 3,205 original test cases, and recovering a 16-bit DOS bullet-ring calculation from the game TH04
- Supports Claude Code, Codex, Cursor, Gemini CLI, and Grok Build out of the box
- Also analyzes EVM bytecode, WASM artifacts, recorded Linux crashes, Android devices via ADB, and JEB projects
Etiido Uko writes that Canadian software engineer Anthony Sistilli built a custom ALPR camera to exclusively track police vehicles, inverting the mass surveillance tactics used by companies like Flock Safety. Two days after sharing the device online, police officers from Peel Regional Police visited his home in Brampton, Ontario, to express concerns that tracking officer movements could put them at personal risk. Sistilli pointed out the irony of law enforcement citing citizen privacy objections to defend their own blanket surveillance practices.
- Officers acknowledged that restricting police tracking might compromise active investigations
- Flock Safety now operates over 120,000 cameras across 49 US states
- Hackers extracted 27,000 clips and 1.6 million images from a stolen Flock camera in 21 days
- Several US municipalities have suspended or canceled Flock contracts following public backlash
- Officers acknowledged that restricting police tracking might compromise active investigations
- Flock Safety now operates over 120,000 cameras across 49 US states
- Hackers extracted 27,000 clips and 1.6 million images from a stolen Flock camera in 21 days
- Several US municipalities have suspended or canceled Flock contracts following public backlash
mikedeblin writes about a portable MP3 player built on the ESP32-S3 that plays music from a microSD card or streams it from a DLNA/UPnP media server (tested with Synology Audio Station). The device features a 1.8" colour TFT with four display modes, an OLED status display, a rotary encoder with a 16-LED ring, and an output compressor and limiter that protect the DAC from being overdriven.
- Uses a PCM5102A DAC in hardware I²S mode with a ReaComp-style compressor and brick-wall lookahead limiter
- Network streaming uses a 256 KB PSRAM ring buffer to absorb WiFi drop-outs
- Supports ID3v2.3/2.4 tags in UTF-16, UTF-8, Latin-1, and Windows-1251 (Cyrillic)
- LED ring is driven through an MCP23017 I²C GPIO expander with 125 Hz multiplexing
- MP3 only for now; AAC and FLAC decoders exist in AudioTools but are not yet wired in
- Uses a PCM5102A DAC in hardware I²S mode with a ReaComp-style compressor and brick-wall lookahead limiter
- Network streaming uses a 256 KB PSRAM ring buffer to absorb WiFi drop-outs
- Supports ID3v2.3/2.4 tags in UTF-16, UTF-8, Latin-1, and Windows-1251 (Cyrillic)
- LED ring is driven through an MCP23017 I²C GPIO expander with 125 Hz multiplexing
- MP3 only for now; AAC and FLAC decoders exist in AudioTools but are not yet wired in
Cloudflare's Markdown for Agents feature uses content negotiation to convert HTML pages into Markdown on the fly for clients that declare a preference for the format. When a system sends a request with an `Accept: text/markdown` header, Cloudflare's network intercepts it, retrieves the source HTML, and streams a structured Markdown response containing YAML frontmatter and preserved JSON-LD data. The feature is available at no additional cost on Pro, Business, and Enterprise plans, and it can be scoped to specific subdomains, paths, or custom hostnames using Configuration Rules.
- The system preserves security and caching headers like HSTS and CSP, but strips body-dependent headers like `ETag` and `Last-Modified`.
- A default `content-signal` header is added to indicate that content is approved for AI training, search, and agentic input.
- Decompressed HTML inputs are limited to 6 MiB during the conversion process.
- The system preserves security and caching headers like HSTS and CSP, but strips body-dependent headers like `ETag` and `Last-Modified`.
- A default `content-signal` header is added to indicate that content is approved for AI training, search, and agentic input.
- Decompressed HTML inputs are limited to 6 MiB during the conversion process.
Janakiram MSV writes that a new category of "decision models" has standardized around TypeSafe AI's System One API schema within three weeks of its launch. These lightweight, non-generative models return structured, probability-weighted answers to typed questions rather than prose, functioning as an "if statement" to route requests, gate tool calls, or provide fallback logic for LLM agents. While AWS, Upstage, Ollama, and Perplexity have aligned with the System One contract to allow for portable, inexpensive code-level interoperability, OpenAI has opted out with its own proprietary Decisions API, mirroring the historical standardization pattern of LLM APIs. However, researchers have demonstrated that an adversarial optimizer can easily redirect these models toward wrong answers by adding short, natural-looking context, meaning reliability depends on rigorous calibration and safeguards rather than just API convergence.
- Decision models use only three question types: "choice," "score," and "noul" (yes/no).
- Open-weight implementations often bypass autoregressive decoding by using a small readout head to score options in a single pass.
- AWS's Strands Decider achieves a median response time of 115 milliseconds per question on an RTX 3090.
- A USC study found that adding context of a median length of 31 words can redirect 61.4% of initially correct Jev decisions.
- Decision models use only three question types: "choice," "score," and "noul" (yes/no).
- Open-weight implementations often bypass autoregressive decoding by using a small readout head to score options in a single pass.
- AWS's Strands Decider achieves a median response time of 115 milliseconds per question on an RTX 3090.
- A USC study found that adding context of a median length of 31 words can redirect 61.4% of initially correct Jev decisions.
Silvio Werner writes that Banana Pi has announced the BPI-CM7, a compact compute module intended as an alternative to Raspberry Pi compute modules. It is not a standalone board and requires a carrier board, which makes it well suited for ultra-compact custom devices that only need a few breakout interfaces. It uses an Allwinner H618 with four Cortex-A53 cores and an ARM Mali-G31 GPU, and pricing and availability have not been announced.
- 55 x 40 mm form factor with two 100-pin high-density connectors
- Confirmed variant has 2 GB LPDDR4 and 32 GB eMMC
- Integrated Wi-Fi 5 and Bluetooth 5.0
- Supports 100 Mbps Fast Ethernet and USB 2.0
- Exposes GPIO, UART, SPI and draws power from 5 V
- 55 x 40 mm form factor with two 100-pin high-density connectors
- Confirmed variant has 2 GB LPDDR4 and 32 GB eMMC
- Integrated Wi-Fi 5 and Bluetooth 5.0
- Supports 100 Mbps Fast Ethernet and USB 2.0
- Exposes GPIO, UART, SPI and draws power from 5 V
Jeff Shrager writes travel-style close readings of landmark programs — each guide treats one famous piece of historic source code the way a good guidebook treats a city, starting with a map, then touring the major regions, then flagging the details a casual visitor would miss. The repository currently covers three programs: the 1963 Logic Theorist, ELIZA, and SHRDLU, each presented in a standardized format that assumes no familiarity with the original language or hardware and ends with a practical primer for reading the code yourself.
- Shrager openly states the guides were created with AI assistance and cross-checked, but likely contain errors
- A "Ground rules" section requires that behavioral claims be checkable against the quoted source, provenance of each source file be stated up front, and modern analogies be explicitly labeled as analogies rather than implied as lineage
- Contributions are welcomed, with corrections for factual errors and misread code especially encouraged
- Shrager openly states the guides were created with AI assistance and cross-checked, but likely contain errors
- A "Ground rules" section requires that behavioral claims be checkable against the quoted source, provenance of each source file be stated up front, and modern analogies be explicitly labeled as analogies rather than implied as lineage
- Contributions are welcomed, with corrections for factual errors and misread code especially encouraged
Gregor Žunič writes a minimal browser-agent framework built around a dynamic, indexed action space and a single TypeSafe request per decision cycle.
The agent reads structured DOM state rather than screenshots, pairs one network round trip with speculative operation and target heads, and invokes a small LLM only for `TYPE_TEXT`.
The flagship Google Flights example completes a natural-language search in roughly seven seconds with a median 25% reduction in task time and an order-of-magnitude drop in browser protocol calls.
- The repo is primarily Python (~58%) with supporting HTML, JavaScript, and CSS.
- It connects to Chrome through Browser Harness and uses a Browser Use Cloud waitlist for hosted deployments.
- Model output never becomes raw selectors, coordinates, shell commands, or executable JavaScript.
- The text helper supports OpenRouter-compatible models such as Gemini, GLM, and DeepSeek.
- The MVP still lacks support for shadow roots, frames, canvas, uploads, pop-up tabs, and arbitrary keyboard widgets.
The agent reads structured DOM state rather than screenshots, pairs one network round trip with speculative operation and target heads, and invokes a small LLM only for `TYPE_TEXT`.
The flagship Google Flights example completes a natural-language search in roughly seven seconds with a median 25% reduction in task time and an order-of-magnitude drop in browser protocol calls.
- The repo is primarily Python (~58%) with supporting HTML, JavaScript, and CSS.
- It connects to Chrome through Browser Harness and uses a Browser Use Cloud waitlist for hosted deployments.
- Model output never becomes raw selectors, coordinates, shell commands, or executable JavaScript.
- The text helper supports OpenRouter-compatible models such as Gemini, GLM, and DeepSeek.
- The MVP still lacks support for shadow roots, frames, canvas, uploads, pop-up tabs, and arbitrary keyboard widgets.
Coolify is an open-source, self-hostable PaaS that lets you deploy applications, databases, and services on your own servers with just an SSH connection, positioning itself as an alternative to Heroku, Netlify, and Vercel. The platform supports deploying from GitHub, GitLab, Bitbucket, or Gitea using multiple build methods, manages 300+ one-click services, and handles networking, backups, and monitoring. It can be installed with a single curl command and offers both a free self-hosted option and a paid Coolify Cloud service.
- 62.8k stars, 5.6k forks, 694 contributors, and 710 releases on GitHub
- Built primarily in PHP (82.4%) with Blade, using Laravel and Svelte
- Apache-2.0 licensed and described as "free forever" with no feature behind a paywall
- Supports deploying to any SSH-accessible server including VPS, bare-metal, or Raspberry Pi
- Integrates with Claude Code and other AI tools via MCP, with agent skills configured in the repo
- 62.8k stars, 5.6k forks, 694 contributors, and 710 releases on GitHub
- Built primarily in PHP (82.4%) with Blade, using Laravel and Svelte
- Apache-2.0 licensed and described as "free forever" with no feature behind a paywall
- Supports deploying to any SSH-accessible server including VPS, bare-metal, or Raspberry Pi
- Integrates with Claude Code and other AI tools via MCP, with agent skills configured in the repo
Bobby Borisov writes that tmux 3.8 enhances the terminal multiplexer with expanded floating pane capabilities, including mouse and command-based movement, resizing, and layout swapping, alongside modal panes that temporarily block interaction with other panes. The release adds built-in light and dark themes that can automatically match terminal preferences, plus a new fuzzy switcher for faster window and session navigation.
- Modal panes can be configured to close on click-outside or Escape
- The hooks system was redesigned around events, adding triggers for pane activity, resizing, session changes, and window operations
- Layout definitions now use a JSON-based format while remaining backward-compatible
- Floating panes are planned to fully replace traditional popups in tmux 3.9
- Modal panes can be configured to close on click-outside or Escape
- The hooks system was redesigned around events, adding triggers for pane activity, resizing, session changes, and window operations
- Layout definitions now use a JSON-based format while remaining backward-compatible
- Floating panes are planned to fully replace traditional popups in tmux 3.9
